The Influence of Gender Bias on Task-Specific Smart Appliances

Stewart William Palmer; Polymeros Chrysochou; Panagiotis Mitkidis; Darius-Aurel Frank

The Influence of Gender Bias on Task-Specific Smart Appliances

Stewart William Palmer
, Polymeros Chrysochou
, Panagiotis Mitkidis
, Darius-Aurel Frank

Socialrådgiveruddannelsen - Slagelse

Research output: Contribution to conference without a publisher/journal › Abstract › Research › peer-review

Abstract

Users interact with technology in a stereotypical manner, expecting from it, what one expects from a person. We report 3 studies. In study 1 we find that dual-gender has the highest perceived suitability. In study 2 we find that users hold stereotypic assumptions for machine tasks. In study 3, we investigate the implications of switching gender in objective and subjective machine tasks. Ingraining stereotypical traits and attributes into technological systems may exacerbate stereotype segregation, but might lead to more trusted systems and objects because they provide users with what they are used to.

Original language	English
Publication date	2020
Publication status	Unpublished - 2020

Keywords

aesthetics, design and media
sociology

Cite this

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abstract = "Users interact with technology in a stereotypical manner, expecting from it, what one expects from a person. We report 3 studies. In study 1 we find that dual-gender has the highest perceived suitability. In study 2 we find that users hold stereotypic assumptions for machine tasks. In study 3, we investigate the implications of switching gender in objective and subjective machine tasks. Ingraining stereotypical traits and attributes into technological systems may exacerbate stereotype segregation, but might lead to more trusted systems and objects because they provide users with what they are used to.",

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Y1 - 2020

N2 - Users interact with technology in a stereotypical manner, expecting from it, what one expects from a person. We report 3 studies. In study 1 we find that dual-gender has the highest perceived suitability. In study 2 we find that users hold stereotypic assumptions for machine tasks. In study 3, we investigate the implications of switching gender in objective and subjective machine tasks. Ingraining stereotypical traits and attributes into technological systems may exacerbate stereotype segregation, but might lead to more trusted systems and objects because they provide users with what they are used to.

AB - Users interact with technology in a stereotypical manner, expecting from it, what one expects from a person. We report 3 studies. In study 1 we find that dual-gender has the highest perceived suitability. In study 2 we find that users hold stereotypic assumptions for machine tasks. In study 3, we investigate the implications of switching gender in objective and subjective machine tasks. Ingraining stereotypical traits and attributes into technological systems may exacerbate stereotype segregation, but might lead to more trusted systems and objects because they provide users with what they are used to.

KW - aesthetics, design and media

KW - sociology

UR - https://pure.au.dk/portal/en/publications/a4538e35-49b5-402b-bd96-38c4828ce54f

M3 - Abstract

ER -

The Influence of Gender Bias on Task-Specific Smart Appliances

Abstract

Keywords

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